DS-SEP24-PG58+59_Layout 1 19/09/2024 11:38 Page 2
SUSTAINABILITY IN MANUFACTURING
FEATURE
DRIVEN DECISION MAKING TO TAINABILITY IN MANUFACTURING
consumer preferences can change rapidly, and the ability to introduce new products quickly can provide a significant competitive edge.
ACHIEVING ESG COMPLIANCE Sustainability and social responsibility are increasingly critical for manufacturers. ESG compliance not only aligns with regulatory requirements but also caters to consumer demand for environmentally friendly and ethically produced goods. Data analytics can play a pivotal role in
achieving ESG objectives. Manufacturers can now proactively monitor and address environmental concerns by analysing the environmental impact of materials, optimising energy usage, reducing carbon footprints, and implementing eco-friendly practices. IoT and sensor data can be used for environmental monitoring, providing real-time emissions and resource usage data. Implementing data analytics can provide supply chain transparency and promote social responsibility. AI optimises resource usage and reduces waste, contributing to sustainability efforts. Through data-driven insights, the
manufacturing industry can turn ESG compliance measures into strategic advantages that resonate with conscious consumers and environmentally focused investors.
IMPLEMENTATION BEGINS WITH DATA-DRIVEN R&D Embedded in the manufacturing R&D process, materials informatics solutions are a catalyst for introducing a data-driven approach to materials science. This field has traditionally not utilised data effectively. This synergy between materials and data science transforms how data is leveraged, enabling faster, more efficient, and leaner operations. Today, cloud-based platforms empower organisations to quickly transition from
MaterialsZone’s materials informatics platform capabilities include data management, collaboration, visualisation, data analysis, and predictive modelling
traditional methods to a data-driven approach. These platforms enhance their ability to innovate and compete in the market by allowing R&D teams to analyse vast datasets efficiently. By leveraging insights to predict outcomes and identify optimal materials, processes, and designs, R&D labs can rapidly iterate and experiment with novel ideas. This capability ultimately leads to the development of better and more sustainable products, demonstrating how materials informatics can revolutionise manufacturing. The true significance of embracing a data-
driven approach in manufacturing lies in accelerating R&D and enhancing efficiency. Data
analytics allows manufacturers to streamline processes, innovate faster, and improve productivity. This efficiency supports ESG compliance by adopting greener practices, using environmentally friendly materials, and optimising resource usage. Companies that adopt data-driven strategies not only advance their R&D but also bolster their ESG efforts, driving a new era of manufacturing innovation.
EMBRACING THE DATA-DRIVEN FUTURE At its core, the integration of data-driven insights signifies a departure from the conventional constraints that have historically hampered innovation cycles in manufacturing. Manufacturers can systematically accelerate the innovation process through advanced analytics and artificial intelligence. As manufacturers embrace these technologies and methodologies, they transform their operations and reshape industry norms. Adopting advanced data aggregation and analysis technologies is critical for manufacturing organisations seeking to strategically position themselves in a landscape where innovation, competitiveness, and sustainability converge for a more resilient and responsible future. As the industry evolves, making informed decisions through data-driven approaches remains the only way to succeed in the modern manufacturing ecosystem.
A SHAP analysis plot in MaterialsZone’s platform depicting the dominant factors in a formulation and their effect on the target parameter a researcher would like to optimise
MaterialsZone
www.materials.zone
SEPTEMBER 2024 DESIGN SOLUTIONS 59
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64
